FINDING TOP-K PREFERABLE PRODUCTS
There are numerous applications where we wish to discover unexpected activities in a sequence of time-stamped observation data—for instance, we may want to detect inexplicable events in transactions at a website or in video of an airport tarmac. In this paper, we start with a known set A of activities (both innocuous and dangerous) that we wish to monitor.
However, in addition, we wish to identify “unexplained” subsequences in an observation sequence that are poorly explained (e.g., because they may contain occurrences of activities that have never been seen or anticipated before, i.e., they are not in A).
http://kaashivinfotech.com/
http://inplanttrainingchennai.com/
http://inplanttraining-in-chennai.com/
http://internshipinchennai.in/
http://inplant-training.org/
http://kernelmind.com/
http://inplanttraining-in-chennai.com/
http://inplanttrainingchennai.com/
★
★
★
★
★
325 views • 9 slides